NVIDIA Launches ChatGPT Work to Automate Its Internal Workflows

At NVIDIA, teams are equipping sales and marketing tasks with ChatGPT Work. A monitoring flow condenses 25 to 40 updates each week into 5 to 8 actionable signals, while another, executed twice a week, saves 16 hours weekly on GTC preparation. The company aims to generalize these practices to more quickly align external signals with its priorities and free up analysis time.

NVIDIA Aims to Generalize AI Workflows to Free Up Analysis Time

NVIDIA plans to increase the internal use of ChatGPT Work by transforming business expertise into reusable workflows that teams can customize based on functions, events, and regions. According to the company, employees closest to the field will retain control over adapting these processes, while the pooling of workflows will facilitate a quick connection between external advancements and internal priorities, making AI-assisted working methods accessible to a larger number of employees. The stated goal is to provide more time for interpreting results, collaborating, and focusing on customer service. NVIDIA indicates that this potential is already evident in the experience of Will Daney and also mentions the successful extension of workflows on a global scale.

Rachita Jain Condenses 25 to 40 Updates into 5 to 8 Signals

Within the marketing organization, Rachita Jain from AI operations builds workflows and supports the adoption of new tools. She describes an environment where new models, benchmarks, and research emerge daily: information is abundant, but the challenge is to isolate what matters for NVIDIA and connect it to projects, conversations, and internal priorities. She has established a process with ChatGPT Work that simultaneously examines reliable external sources and internal context to highlight relevant overlaps and actionable insights. Each week, this flow distills approximately 25 to 40 updates into 5 to 8 actionable signals, and she claims to have shifted from passive reading to active intelligence. This work illustrates the use of the tool to connect rapid signals to the needs of the teams.

GTC: Will Daney's Flow Saves 16 Hours Per Week

Will Daney, who supports sales, business development, and product managers, provides regular assistance to the field organization during GTC. Before the process was automated, preparation relied on spreadsheets to compile account lists, track registrations, and guide teams toward the required actions to ensure a productive experience for clients and partners. He estimates that about 40% of his time was spent on manual analysis. He has converted much of this work into an automated flow with ChatGPT Work, executed twice a week. Over the 12-week planning cycle for GTC, this system saves approximately 16 hours each week. Will Daney reports that this gives him more time to engage with field teams and clients, describes ChatGPT as a force multiplier, and says he feels like he has a team. At NVIDIA, the tool is also presented as a means to reduce manual tasks.